Behavior recognition recording safety helmet based on artificial intelligence machine vision

Abstract

The utility model belongs to the technical field of safety helmets, and particularly relates to a behavior recognition recording safety helmet based on artificial intelligence machine vision, which comprises a safety helmet body, a visual component, a distance measuring part, a protection component and a content display component, a distance measuring piece is arranged on the safety helmet body in a matched mode. According to the behavior recognition recording safety helmet based on the artificial intelligence machine vision, the protection assembly is arranged on the vision assembly in a matched mode, the camera can be protected for use, dust-proof and impact-proof protection can be achieved, cleaning convenience is improved, and the use requirement is met; the blind areas on the two sides and behind the body of a wearer can be detected, the head is prevented from being impacted, the content display assembly can remotely issue instructions to the daily work content of the wearer, the warning content during work can be displayed, and the use effect is improved.

Description

Technical Field

[0001] The utility model relates to the technical field of safety helmets, in particular to a behavior recognition and recording safety helmet based on artificial intelligence machine vision. Background Art

[0002] A safety helmet is a shallow dome hat made of steel or similar materials that is worn to protect the top of the head. It is a protective device to prevent impact objects from injuring the head. With the development of science and technology, in order to facilitate the management of construction workers, behavior recognition and recording safety helmets based on artificial intelligence machine vision have appeared on the market, which has improved the use effect. The existing behavior recognition and recording safety helmets based on artificial intelligence machine vision, when in use, cannot conveniently clean the lens of the visual component due to the heavy dust on the construction site, resulting in blurred and poor shooting effects. In addition, the existing behavior recognition and recording safety helmets based on artificial intelligence machine vision cannot realize the remote distribution of work content and have insufficient use functions. Utility Model Content

[0003] 1. Technical issues to be resolved

[0004] In view of the deficiencies in the prior art, the utility model provides a behavior recognition and recording helmet based on artificial intelligence machine vision, which solves the problem that the behavior recognition and recording helmet based on artificial intelligence machine vision proposed in the above background technology is inconvenient to clean the visual components and lacks functionality.

[0005] (II) Technical solution

[0006] In order to achieve the above-mentioned purpose, the utility model specifically adopts the following technical solutions:

[0007] A behavior recognition and recording safety helmet based on artificial intelligence machine vision, comprising a safety helmet body, a visual component, a distance measuring component, a protective component and a content display component, wherein the safety helmet body is fixedly connected with the visual component at the brim portion, the safety helmet body is cooperatively provided with the distance measuring component, the visual component is cooperatively connected with the protective component, the protective component is fixedly connected to the safety helmet body, and the content display component is fixedly connected to the safety helmet body opposite to the protective component.

[0008] Furthermore, a fastening belt is cooperatively connected to the helmet body.

[0009] Furthermore, the visual component consists of a mounting base, a camera and a fill light. The mounting base is fixedly connected to the helmet body, the mounting base is equipped with a camera, and the fill light is arranged on the mounting base below the camera.

[0010] Furthermore, the distance measuring component is composed of a distance sensor, a battery and an antenna. There are three distance sensors, which are respectively arranged on both sides of the safety helmet body and at the rear side of the safety helmet body. The distance sensors located on both sides of the safety helmet body are equipped with batteries, and the distance sensor located on the rear side of the safety helmet body is equipped with an antenna.

[0011] Furthermore, the protective assembly consists of a protective seat, a sliding groove, a protective plate, a connecting seat, a screw and a knob. The protective seat is fixedly connected to the helmet body at the mounting seat. A sliding groove is provided in the protective seat. A protective plate is slidably connected in the sliding groove. A connecting seat is fixedly connected to the protective plate. The connecting seat is threadedly connected to the screw. The screw is rotatably connected to the protective seat between the camera and the fill light. Knobs are fixedly connected at both ends of the screw.

[0012] Furthermore, the content display component consists of a rotating base and a low-power display screen, the rotating base is fixedly connected to the helmet body, and the low-power display screen is rotatably connected to the rotating base.

[0013] (III) Beneficial effects

[0014] Compared with the prior art, the utility model provides a behavior recognition and recording helmet based on artificial intelligence machine vision, which has the following beneficial effects:

[0015] The behavior recognition and recording safety helmet based on artificial intelligence machine vision designed by the utility model can improve the protective use of the camera by arranging a protective component on the visual component, and can also achieve dust and impact protection, improve the convenience of cleaning, and meet the use requirements. Through the design of the distance measuring component, it can detect the blind spots on both sides and behind the wearer to avoid collision to the head. The content display component can remotely issue instructions on the wearer's daily work content, and can display warning content during work, thereby improving the use effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 It is a schematic diagram of the overall structure of the utility model;

[0017] Figure 2 This is a schematic diagram of the structure of the visual component and the distance measuring component of the utility model;

[0018] Figure 3 This is a schematic diagram of the structure of the protective component of the utility model;

[0019] Figure 4 This is a schematic diagram showing the structure of components of the utility model.

[0020] In the figure: 1. Helmet body; 101. Fastening belt; 2. Visual component; 201. Mounting seat; 202. Camera; 203. Fill light; 3. Distance measuring component; 301. Distance sensor; 302. Battery; 303. Antenna; 4. Protection component; 401. Protection seat; 402. Sliding groove; 403. Protection plate; 404. Connecting seat; 405. Screw; 406. Knob; 5. Content display component; 501. Rotating seat; 502. Low-power display screen. DETAILED DESCRIPTION

[0021] The following will be combined with the drawings in the embodiments of the utility model to clearly and completely describe the technical solutions in the embodiments of the utility model. Obviously, the described embodiments are only part of the embodiments of the utility model, not all of the embodiments. Based on the embodiments in the utility model, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the utility model.

[0022] Example

[0023] like Figure 1-4As shown, an embodiment of the utility model proposes a behavior recognition and recording safety helmet based on artificial intelligence machine vision, including a safety helmet body 1, a visual component 2, a distance measuring component 3, a protective component 4 and a content display component 5. The behavior recognition and recording safety helmet based on artificial intelligence machine vision designed in this scheme can improve the protection and cleaning effect of the visual component 2, and expand the use function of the safety helmet. The safety helmet body 1 is fixedly connected with the visual component 2 at the brim part, the safety helmet body 1 is matched with the distance measuring component 3, the visual component 2 is matched with the protective component 4, the protective component 4 is fixedly connected to the safety helmet body 1, and the content display component 5 is fixedly connected to the safety helmet body 1 opposite to the protective component 4. The battery 302 is connected through The conductive wire is electrically connected to the distance sensor 301, the antenna 303, the visual component 2 and the content display component 5 to meet the power supply requirements. Through the design of the camera 202 and the fill light 203, the wearer's behavior can be identified and recorded, which is convenient for remote management. Through the design of the distance measuring component 3, when the user wears the helmet body 1, the sides and back of the user's head can be detected to identify blind spots to prevent the user's head from colliding with obstacles when turning his head or walking backwards, thereby improving the protection effect. When the distance sensor 301 detects a closer obstacle, a buzzer sound will be emitted to remind the user. The antenna 303 is used for telecommunication connection with the background terminal to meet the requirements of remote interconnection. Through the design of the protection component 4, the protection effect is improved. In order to protect the visual component 2, a slot is provided on the protective seat 401 for normal illumination of the visual component 2. The protective plate 403 is slidably connected in the sliding slot 402. By turning the knob 406, the screw 405 can be rotated, so that the protective plate 403 can slide and adjust inside the sliding slot 402. Since the protective plate 403 fits tightly with the sliding slot 402, and the overall area of ​​the protective plate 403 is twice the area of ​​the slot on the protective seat 401, when the protective plate 403 is moved, the protective plate 403 stored in the protective seat 401 can cover the visual component 2, and the protective plate 403 that originally covered the visual component 2 will be stored in the protective seat 401. When sliding, the protective plate 403 attached to the protective plate 403 can be The dust on the screen 402 can be scraped off to realize convenient cleaning of the dust. The protective plate 403 is made of transparent glass, which does not affect the perspective use of the visual component 2. The connecting seat 404 and the screw 405 are placed between the camera 202 and the fill light 203, which does not affect the irradiation use of the camera 202 and the fill light 203, thereby improving the use effect. Through the design of the content display component 5, the work content can be remotely issued when the user wears a safety helmet. When the user needs to view the work content, the low-power display screen 502 can be rotated and opened on the rotating seat 501, so that the low-power display screen 502 displays the work content. When it is not needed to be viewed, the low-power display screen 502 can be folded, which does not affect the work use and meets the use effect of remote instructions.The contents not described in detail in this specification belong to the prior art known to professionals in this field.

[0024] like Figure 2 As shown, in some embodiments, a fastening belt 101 is connected to the helmet body 1, and the fastening belt 101 is convenient for the user to wear and use the helmet body 1.

[0025] like Figure 2 As shown, in some embodiments, the visual component 2 is composed of a mounting base 201, a camera 202 and a fill light 203. The mounting base 201 is fixedly connected to the helmet body 1, and the mounting base 201 is provided with a camera 202. The fill light 203 is provided on the mounting base 201 below the camera 202. The visual component 2 meets the use effect of behavior recognition recording.

[0026] like Figure 2 As shown, in some embodiments, the distance measuring component 3 is composed of a distance sensor 301, a battery 302 and an antenna 303. Three distance sensors 301 are provided, which are respectively arranged on both sides of the safety helmet body 1 and at the rear side of the safety helmet body 1. The distance sensors 301 located on both sides of the safety helmet body 1 are provided with batteries 302, and the distance sensor 301 located on the rear side of the safety helmet body 1 is provided with an antenna 303. The distance measuring component 3 can monitor obstacles in the surrounding blind spots when the user wears the safety helmet body 1 to avoid the problem of collision with obstacles.

[0027] like Figure 3 As shown, in some embodiments, the protective component 4 is composed of a protective seat 401, a sliding groove 402, a protective plate 403, a connecting seat 404, a screw 405 and a knob 406. The protective seat 401 is fixedly connected to the helmet body 1 at the mounting seat 201. A sliding groove 402 is provided in the protective seat 401. A protective plate 403 is slidably connected in the sliding groove 402. A connecting seat 404 is fixedly connected to the protective plate 403. The connecting seat 404 is threadedly connected to the screw 405. The screw 405 is rotatably connected to the protective seat 401 between the camera 202 and the fill light 203. Knobs 406 are fixedly connected at both ends of the screw 405. The protective component 4 improves the protective use of the visual component 2 and improves the convenience of cleaning.

[0028] like Figure 4 As shown, in some embodiments, the content display component 5 is composed of a rotating base 501 and a low-power display screen 502. The rotating base 501 is fixedly connected to the safety helmet body 1, and the low-power display screen 502 is rotatably connected to the rotating base 501. The content display component 5 meets the needs of issuing remote work instructions to the user.

[0029] Finally, it should be noted that the above description is only a preferred embodiment of the utility model and is not intended to limit the utility model. Although the utility model is described in detail with reference to the above embodiments, those skilled in the art can still modify the technical solutions recorded in the above embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the utility model shall be included in the protection scope of the utility model.

Claims

1. A behavior recognition and recording helmet based on artificial intelligence machine vision, comprising a helmet body (1), a visual component (2), a distance measuring component (3), a protective component (4) and a content display component (5), characterized in that: The helmet body (1) is fixedly connected to a visual component (2) at the brim of the helmet, the helmet body (1) is provided with a distance measuring component (3), the visual component (2) is provided in a coordinated manner with a protective component (4), the protective component (4) is fixedly connected to the helmet body (1), and a content display component (5) is fixedly connected to the helmet body (1) opposite to the protective component (4).

2. According to claim 1, a behavior recognition and recording helmet based on artificial intelligence machine vision is characterized by: The helmet body (1) is cooperatively connected with a fastening belt (101).

3. The behavior recognition and recording helmet based on artificial intelligence machine vision according to claim 1 is characterized by: The visual component (2) is composed of a mounting seat (201), a camera (202) and a fill light (203); the mounting seat (201) is fixedly connected to the helmet body (1); the mounting seat (201) is provided with a camera (202); and the fill light (203) is provided on the mounting seat (201) below the camera (202).

4. The behavior recognition and recording helmet based on artificial intelligence machine vision according to claim 1 is characterized by: The distance measuring component (3) is composed of a distance sensor (301), a storage battery (302) and an antenna (303). Three distance sensors (301) are provided, which are respectively provided on both sides of the helmet body (1) and at the rear side of the helmet body (1). The distance sensors (301) located on both sides of the helmet body (1) are provided with the storage battery (302), and the distance sensor (301) located at the rear side of the helmet body (1) is provided with the antenna (303).

5. The behavior recognition and recording helmet based on artificial intelligence machine vision according to claim 1, characterized in that: The protection component (4) is composed of a protection seat (401), a sliding groove (402), a protection plate (403), a connecting seat (404), a screw (405) and a knob (406); the protection seat (401) is fixedly connected to the helmet body (1) at the mounting seat (201); a sliding groove (402) is provided in the protection seat (401); a protection plate (403) is slidably connected in the sliding groove (402); a connection seat (404) is fixedly connected to the protection plate (403); the connection seat (404) is threadedly connected to the screw (405); the screw (405) is rotatably connected to the protection seat (401) between the camera (202) and the fill light (203); and knobs (406) are fixedly connected to both ends of the screw (405).

6. The behavior recognition and recording helmet based on artificial intelligence machine vision according to claim 1, characterized in that: The content display component (5) is composed of a rotating base (501) and a low-power display screen (502); the rotating base (501) is fixedly connected to the helmet body (1); and the low-power display screen (502) is rotatably connected to the rotating base (501).

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